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hdfeos5: latitude/longitude missing for hyp3 product #1049
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Description
Description of the problem
I used save_hdfeos5.py timeseries_ERA5_demErr.h5 --tc temporalCoherence.h5 --asc avgSpatialCoh.h5 -g inputs/geometryGeo.h5 -t mintpy_config.txt to generate S1_IW12_128_0593_0597_20141213_20160524.he5。
Output information is as follows:
read options from template file: mintpy_config.txt
## UNAVCO Metadata:
-----------------------------------------
atmos_correct_method None
beam_mode IW
beam_swath 0
data_footprint POLYGON((205760.0 3468480.0,496720.0 3468480.0,496720.0 3241840.0,205760.0 3241840.0,205760.0 3468480.0))
first_date 2022-06-10
first_frame 0
flight_direction A
history 2023-07-26
last_date 2023-06-05
last_frame 0
look_direction R
mission S1
polarization Unknown
post_processing_method MintPy
prf 0.0
processing_dem Unknown
processing_software hyp3
processing_type LOS_TIMESERIES
relative_orbit 127
scene_footprint POLYGON((205760.0 3241840.0,205760.0 3468480.0,496720.0 3468480.0,496720.0 3241840.0,205760.0 3241840.0))
unwrap_method Unknown
wavelength 0.055465764662349676
-----------------------------------------
create HDF5 file: S1_IW_127_0000_20220610_20230605.he5 with w mode
create group /HDFEOS/GRIDS/timeseries/observation
create dataset /HDFEOS/GRIDS/timeseries/observation/displacement of float32 in size of (30, 2833, 3637) with compression=lzf
write data acquition by acquition ...
[==================================================] 30/30 20230605 21s / 0s
create dataset /HDFEOS/GRIDS/timeseries/observation/date of |S8 in size of (30,) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/observation/bperp of float32 in size of (30,) with compression=lzf
create group /HDFEOS/GRIDS/timeseries/quality
create dataset /HDFEOS/GRIDS/timeseries/quality/temporalCoherence of float32 in size of (2833, 3637) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/quality/avgSpatialCoherence of float32 in size of (2833, 3637) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/quality/mask of bool in size of (2833, 3637) with compression=lzf
create group /HDFEOS/GRIDS/timeseries/geometry
create dataset /HDFEOS/GRIDS/timeseries/geometry/azimuthAngle of float32 in size of (2833, 3637) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/geometry/height of float32 in size of (2833, 3637) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/geometry/incidenceAngle of float32 in size of (2833, 3637) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/geometry/slantRangeDistance of float32 in size of (2833, 3637) with compression=lzf
create dataset /HDFEOS/GRIDS/timeseries/geometry/waterMask of bool in size of (2833, 3637) with compression=lzf
write metadata to root level
finished writing to S1_IW_127_0000_20220610_20230605.he5
Then I used python hdfeos5_2json_mbtiles.py --num-workers 8 file ../2023_chengdu/S1_IW_127_0000_20220610_20230605.he5 outputDir ../2023_chengdu/OutPut to convert the data。
Full script that generated the error
hdfeos5_2json_mbtiles.py
Full error message
reading displacement data from file: ../2023_chengdu/S1_IW_127_0000_20220610_20230605.he5 ...
reading mask data from file: ../2023_chengdu/S1_IW_127_0000_20220610_20230605.he5 ...
Masking displacement
Creating shared memory for multiple processes
../2023_chengdu/test_output already exists
Traceback (most recent call last):
File "/home/PycharmProjects/hyp3_mintpy/insarmaps_scripts/hdfeos5_2json_mbtiles.py", line 413, in <module>
main()
File "/home/PycharmProjects/hyp3_mintpy/insarmaps_scripts/hdfeos5_2json_mbtiles.py", line 387, in main
lats = np.array(f["HDFEOS"]["GRIDS"]["timeseries"]["geometry"]["latitude"])
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "/home/anaconda3/envs/hyp3-mintpy/lib/python3.9/site-packages/h5py/_hl/group.py", line 357, in __getitem__
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5o.pyx", line 190, in h5py.h5o.open
KeyError: "Unable to synchronously open object (object 'latitude' doesn't exist)"
(hyp3-mintpy) root@ecs-65ca-0420274:/home/PycharmProjects/hyp3_mintpy/insarmaps_scripts# /home/anaconda3/envs/hyp3-mintpy/lib/python3.9/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
System information
- Operating system: < Ubuntu20.04>
- Python environment: < conda>
- MintPy version: <1.5.1>
- Your custom / default template file (if the bug is related to a specific dataset):
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